On 2013/06/15 6:06 AM, Pierre GM wrote:
>> On Jun 15, 2013, at 17:35 , Matthew Brett <matthew.brett@gmail.com> wrote:
>>> Hi,
>>>> On Sat, Jun 15, 2013 at 2:51 PM, Sudheer Joseph
>> <sudheer.joseph@yahoo.com> wrote:
>>>>>> Thank you very much for this tip.
>>> Is there a typical way to save masked and the rest separately?. Not much familiar with array handling in numpy.
>>>> I don't use masked array myself, but it looks like it would be something like:
>>>> eof1_unmasked = np.array(eof1)
>> eof1_mask = eof1.mask
>>>> then you could save those two. Maybe a more maskey person could comment?
>> Instead of `eof1_unmasked=np.array(eof1)`, you could do `eof1_unmasked = eof1.data`. The '.data' attribute points to a view of the masked array as a simple ndarray.
>> You may also wanna try `eof1.torecords()` that will return a structured array with dtype `[('_data',type_of_eof1),('_mask', bool)]`.
For automated saving and restoring, try this:
http://currents.soest.hawaii.edu/hgstage/pycurrents/file/686c2802a6c4/file/npzfile.py
Eric